Dan Shipper

Runs a 15-person company with a daily newsletter (100K subscribers, read by top AI lab researchers), four software products, and a consulting arm — all with AI-native workflows where no one handwrites code. Consulting clients include $10B+ hedge funds. Their core argument: AI-native teams do not handwrite code. The number one predictor of successful AI adoption is whether the CEO personally uses AI daily. The evidence is specific: Every runs four software products, a daily newsletter, and a consulting arm with 15 people and zero handwritten code. Furthermore, junior writer made a year's worth of progress in two months by converting every piece of feedback into prompt instructions. Walleye ($10B hedge fund) as model client: CEO sent 'AI-first company' email plus built infrastructure for adoption. In Dan Shipper's own words: "No one is manually coding anymore. Organizations like ours, people who are playing at the edge, we're doing things that, in three years, everybody else is going to be doing." (On Every's fully AI-native development process.)

Dan Shipper is co-founder and CEO of Every, a company at the bleeding edge of AI-native operations. Their team of 15 runs four software products, a daily newsletter, and a consulting arm -- all with 100% AI-written code. Their core argument: The AI-native operating model lets 15 people run 4 products, a newsletter, and a consulting arm -- but the secret is organizational design, not just AI tools. The evidence is specific: 15 employees running 4 software products, a newsletter, and a consulting arm. Furthermore, zero handwritten code on the product team. Head of AI Operations role that systematizes AI best practices across the company. In Dan Shipper's own words: "No one is manually coding anymore. Organizations like ours, people who are playing at the edge, we're doing things that, in three years, everybody else is going to be doing." (On the AI-native small team model as a preview of the future.)